About the role
About monday.com
monday.com is the AI work platform powering the most ambitious teams. 250,000+ customers across departments use us to bring people, workflows, and AI agents together on one flexible platform where AI doesn't just assist, it executes. We move fast, build things that matter, and foster an ownership-driven culture where you're empowered to shape how organizations work and outpace their competition.
About the Team
RevAI is the team building the AI agents inside monday.com's revenue organization, as part of BigBrain, monday.com's internal data and AI group. Our mission is to reinvent how monday.com's Sales and Customer Success organizations work, making them truly agentic end to end, from the first touch with a lead all the way to closing the deal and supporting customers. Our agents book meetings, run outbound, handle inbound leads, and help sales reps manage their accounts with AI-generated account plans, next-best actions and ready-to-send drafts that write straight back to the CRM. We work closely with the business: sales, RevOps and GTM leadership. That means we understand the business process first, then turn it into agents running in production. Our agents run on an agentic platform we built in-house. It is event-driven and operates across hundreds of thousands of accounts, so LLM cost, latency, reliability and business impact are everyday problems for us. We're a small team with high ownership and low ego, and we prefer to just try things rather than wait for permission.
About the Role
- Lead a team of AI software engineers: mentor and grow them, set priorities, and own delivery from planning to production
- Design, code and ship AI agents and agentic systems alongside the team
- Work closely with the business, partnering directly with sales, RevOps and GTM stakeholders to understand revenue processes, find high-impact opportunities, and turn business needs into agents with measurable outcomes
- Own the technical direction of our in-house agent platform and the agents running on it: architecture and design docs, event processing and orchestration, policies and guardrails, human-in-the-loop flows, and tool integrations
- Integrate LLMs in production through an AI gateway, and tune model routing, prompt caching, token budgets and rate limits for scale, cost and quality
- Build and harden integrations with CRM and GTM systems (e.g. Salesforce, email, voice and messaging providers, scheduling tools)
- Set the bar for engineering quality and reliability, including code reviews, monitoring and alerting, incident response, and resilient long-running workflows
- Manage expectations and communicate progress, trade-offs and impact to stakeholders and leadership
Requirements
- 5+ years of software engineering experience in the industry, shipping production systems
- Experience leading or mentoring engineers, either as a team lead or as a strong tech lead who is ready to step into management
- Strong server-side expertise in TypeScript/Node.js (or similar), with experience building microservices, APIs and distributed or event-driven systems at scale
- Proven experience shipping LLM-powered features or AI agents to production (prompting, tool calling, evaluation, cost/latency trade-offs)
- Previous experience building agents and workflows with frameworks and tools such as LangChain/LangGraph, n8n or similar
- Strong business acumen and comfort with revenue/GTM processes (lead management, sales pipeline, account management), with the ability to translate business problems into technical solutions
- Proven stakeholder management, working directly with non-technical partners and aligning priorities across teams
- Strong ownership and observability mindset, and comfort debugging production issues end to end
- Excellent communication skills, team mindset, and a bias for action
Nice to Have
- Experience with Salesforce or other CRM/GTM platform integrations
- Background in sales engineering, solutions engineering, or other customer-facing technical roles
- Familiarity with agent frameworks and patterns (multi-agent orchestration, memory, evaluation, guardrails)
- Experience with React and micro-frontend architectures
- Experience with Kubernetes, AWS and CI/CD
- Experience with data pipelines and workflow tools (e.g. Airflow, Python, Snowflake)
- Background in voice or conversational AI
If this sounds like your kind of challenge, we're looking for an AI Software Engineer Team Lead to build and lead the team shaping how AI agents drive revenue at monday.com.